An enterprise-grade, configuration-driven MLOps pipeline for credit risk underwriting. Built with XGBoost, strict data validation, mlFlow, and CI/CD automation. Dockerized inference deployed via render
docker continuous-integration continuous-deployment gunicorn wsgi type-safety data-transfer-object containerization separation-of-concerns mlops mlflow extreme-gradient-boosting model-registry train-test-split data-drift xgboost-classifier inference-gateway configuration-driven-architecture model-weights-serialization evaluation-telemtry
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Updated
Jun 24, 2026 - Python